Recommending tips that support well-being at work to knowledge workers
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2014-12-17
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en
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Abstract
Knowledge workers are often exposed to a high workload. This high workload
can be can be difficult to manage and may impact well-being. The present
thesis examines a computer supported lifestyle coaching application (i.e. e-coach)
that attempts to support well-being at work. We describe the development
and evaluation of an easy-to-use recommender system that provides
knowledge workers with personalized (tailored) tips that are expected to improve
well-being. The evaluation of the system is split in two phases. First, the
recommendation method is evaluated and optimized in an offline setting. Second,
we describe a user study that investigates the usability and effectiveness
of the system. The study’s main objective is to examine whether tailored tips
have a higher chance of being followed-up compared to randomized suggestions.
Results are promising, as they suggest that knowledge workers have a
positive attitude towards the implemented e-coach. On the other hand, we did
not find strong evidence for our recommendation method, since tailored tips
were only slightly more followed-up than tips that were not adapted the user’s
preferences.
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Faculteit der Sociale Wetenschappen